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Stochastic Processes

2667 directly classified papers

Papers per year

Papers

CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation NIPS 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation NIPS 2023
A Dynamical System View of Langevin-Based Non-Convex Sampling NIPS 2023
Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy NIPS 2023
Unleashing the Power of Randomization in Auditing Differentially Private ML NIPS 2023
Modeling Video As Stochastic Processes for Fine-Grained Video Representation Learning CVPR 2023
SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates CVPR 2023
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization CVPR 2023
Revising with a Backward Glance: Regressions and Skips during Reading as Cognitive Signals for Revision Policies in Incremental Processing EMNLP 2023
Recurrent Neural Language Models as Probabilistic Finite-state Automata EMNLP 2023
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability EMNLP 2023
Benchmarking Visual Localization for Autonomous Navigation WACV 2023
Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations L4DC 2023
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation EMNLP 2023
SONGs: Self-Organizing Neural Graphs WACV 2023
Overlap-Guided Gaussian Mixture Models for Point Cloud Registration WACV 2023
Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits ACML 2023
Neural Integro-Differential Equations AAAI 2023
Data-driven memory-dependent abstractions of dynamical systems L4DC 2023
FaDIn: Fast Discretized Inference for Hawkes Processes with General Parametric Kernels ICML 2023
Probabilistic Invariance for Gaussian Process State Space Models L4DC 2023
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee NIPS 2023
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive Approach NIPS 2023
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders JMLR 2023
Data-Driven Invariant Learning for Probabilistic Programs (Extended Abstract) IJCAI 2023